Man pages for bgctw/etpart
Partitioning evapotranspiration into transpiration and evaporation
| BerkeleyJulianDateToPOSIXct | convert JulianDate format used in Berkeley release to POSIXct |
| calculate_longterm_leaf | leaf-to-ambient CO2 ratio (chi_o) and Water use efficiency... |
| compute_cswi | Compute the conservative soil moisture index (CSWI) |
| compute_daily_GPP | sum GPP by day of year |
| compute_diurnal_centroid | Diurnal centroid of sub-daily fluxes |
| compute_DWCI | Diurnal water:carbon index (DWCI) |
| compute_GPPgrad | Compute the seasonal gradiant from smoothed daily GPP. |
| compute_norm_diurnal_centroid | Normalized diurnal centroid of latent energy (LE) |
| compute_simplifiedDWCI | simplified Diurnal water:carbon index (DWCI) |
| compute_stomatal_conductance_jarvis | Canopy stomatal conductance by Jarvis. |
| compute_TandE | compute T and E from given ET and quantiles of water use... |
| construct_data_FN15 | Format Fluxnet2015 data.frame |
| correlations_from_artificial | Compute Artificial correlations from daily data |
| daily_corr | Daily correlation coefficient |
| DETha | Example of eddy covariance data. |
| estimate_T_priego_5days | Estiamte parameters for 5 day windows around iday and predict... |
| etpart_constants | Constants used throughout ETPart |
| FIHyy | Example of eddy covariance data. |
| get_fluxnet_metadata | Extracts the site metadata from fluxdatasite url |
| get_tzone | Extract the timezone attribute from POSIXct with default on... |
| partition_priego | partition ET by Priego approach |
| partition_tea | partition ET by TEA |
| POSIXctToBerkeleyJulianDate | convert POSIXct to JulianDate format used in Berkeley release |
| predict_transpiration_opriego | Compute transpiration given parameters |
| pred_ranger_quantiles | Predict quantiles from workflow's ranger fitting object for... |
| priego_config | Configure parameters of the Priego transpiration partitioning |
| rep_daily_aggregate | Compute daily aggregate and repeat it for each record |
| tea_config | configure hyperparameters of the TEA algorithm |
| tea_filter | Filter conditions for training the TEA WUE model. |
| tea_fit_wue | Fit a random forest model for predicting water use effciency... |
| tea_predict | Predict water use efficiency WUE, transpiration T, and... |
| tea_preprocess | preprocess for TEA partitioning |
